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Regular version of the site

Courses

Master 2025/2026

Machine Learning (Advanced level)

Type: Elective course (Economics and Economic Policy)
When: 1 year, 4 module
Open to: students of all HSE University campuses
Instructors: Pasha Andreyanov
Language: English
ECTS credits: 3
Contact hours: 36
Master 2025/2026

Machine Learning (Advanced level)

Type: Elective course (Economics and Economic Policy)
When: 1 year, 4 module
Open to: students of all HSE University campuses
Instructors: Pasha Andreyanov
Language: English
ECTS credits: 3
Contact hours: 36
Master 2025/2026

Machine Learning (Advanced level)

Type: Elective course (Economics and Economic Policy)
When: 1 year, 4 module
Open to: students of all HSE University campuses
Instructors: Pasha Andreyanov
Language: English
ECTS credits: 3
Contact hours: 36
2025/2026

Machine Learning (Advanced level)

Type: Mago-Lego
When: 4 module
Open to: students of all HSE University campuses
Instructors: Pasha Andreyanov
Language: English
ECTS credits: 3
Contact hours: 36
Master 2025/2026

Machine Learning and AI in the World Economy

Type: Elective course (World Economy)
When: 2 year, 1, 2 module
Open to: students of all HSE University campuses
Language: English
ECTS credits: 6
Contact hours: 40
2025/2026

Machine Learning and AI in the World Economy

Type: Mago-Lego
When: 1, 2 module
Open to: students of all HSE University campuses
Language: English
ECTS credits: 6
Contact hours: 40
2025/2026

Machine learning and artificial intelligence

Language: Russian
ECTS credits: 6
Contact hours: 60
Master 2025/2026

Machine learning and artificial intelligence

Language: Russian
ECTS credits: 6
2025/2026

Machine Learning and Artificial Intelligence Technologies

Type: Mago-Lego
When: 3, 4 module
Open to: students of all HSE University campuses
Instructors: Fedor Ivanov
Language: Russian
ECTS credits: 6
Contact hours: 52
Master 2025/2026

Machine Learning and Artificial Intelligence Technologies

When: 1 year, 3, 4 module
Open to: students of all HSE University campuses
Instructors: Fedor Ivanov
Language: Russian
ECTS credits: 6
Contact hours: 52
2025/2026

Machine Learning and Big Data Mining

Type: Mago-Lego
When: 2 module
Online hours: 20
Open to: students of one campus
Language: Russian
ECTS credits: 3
Contact hours: 24
Master 2025/2026

Machine Learning and Big Data Mining

Type: Elective course (Digital Product Management)
When: 2 year, 2 module
Online hours: 20
Open to: students of one campus
Language: Russian
ECTS credits: 3
Contact hours: 24
Master 2025/2026

Machine Learning and Data Mining

Type: Elective course (Data Science)
When: 2 year, 1, 2 module
Open to: students of all HSE University campuses
Language: English
ECTS credits: 6
Contact hours: 54
2025/2026

Machine Learning and Data Mining

Type: Mago-Lego
When: 1, 2 module
Open to: students of all HSE University campuses
Language: English
ECTS credits: 6
Contact hours: 54
Master 2025/2026

Machine Learning and Deep Learning Basics

Type: Compulsory course (Big Data Analytics)
When: 2 year, 1, 2 module
Open to: students of one campus
Instructors: Evgeny Patochenko
Language: Russian
ECTS credits: 6
Contact hours: 56
2025/2026

Machine Learning and Deep Learning Basics

Type: Mago-Lego
When: 1, 2 module
Open to: students of one campus
Instructors: Evgeny Patochenko
Language: Russian
ECTS credits: 6
Contact hours: 56
Bachelor 2025/2026

Machine Learning and Intelligent Technologies

Language: Russian
ECTS credits: 5
Master 2025/2026

Machine Learning and Neural Network Technologies in the Gaming Industry

Type: Compulsory course (Digital Engineering for Computer Games)
When: 1 year, 4 module
Open to: students of one campus
Language: Russian
ECTS credits: 3
Contact hours: 24
2025/2026

Machine Learning: Basic Concepts

Type: Mago-Lego
Delivered by: Film Institute
When: 2, 3 module
Online hours: 20
Open to: students of one campus
Language: Russian
ECTS credits: 6
Contact hours: 6
Master 2025/2026

Machine Learning: Basic Concepts

Type: Elective course (Film Production)
Delivered by: Film Institute
When: 2 year, 2, 3 module
Online hours: 20
Open to: students of one campus
Language: Russian
ECTS credits: 6
Contact hours: 6